Recall

Recall.ai envisions a future where the vast and untapped resource of human conversations is accessible and actionable for AI-driven innovation. By transforming spoken dialogue into a powerful dataset, they enable industries to unlock deeper insights, enhance decision-making, and automate key processes across healthcare, sales, legal tech, and customer support.

At the core of Recall.ai's mission is a robust and scalable API infrastructure that captures, transcribes, and analyzes conversations in real-time from leading video conferencing platforms and beyond. This approach empowers developers and AI teams to build sophisticated applications that harness the richness of spoken interactions without the burden of complex integrations.

The company is dedicated to advancing conversation intelligence technologies, driving meaningful change through data accessibility and intelligent automation, ultimately shaping how enterprises leverage voice data to improve outcomes and create new opportunities in a connected world.

When we first encountered Recall.ai, we'll admit we were a bit skeptical. Another API company promising to simplify meeting data? But after digging into what they've built, we're genuinely impressed by how they've turned the messy world of conversation data into a clean, developer-friendly infrastructure play.

The Infrastructure Play That Actually Works

Here's what caught our attention: Recall.ai isn't just another transcription service. They've built the plumbing that lets developers tap into conversation data from Zoom, Teams, Google Meet, and even phone calls without wrestling with a dozen different APIs. Think of them as the Stripe for meeting data—you integrate once, and suddenly you have access to the world's most underutilized dataset.

The numbers back this up too. Processing 3 terabytes of video data per second with fewer than 30 employees? That's the kind of efficiency that makes us sit up and take notice.

What's Really Clever Here

The timing couldn't be better. As AI applications explode across sales, healthcare, and customer support, everyone needs conversation data to train and improve their models. But building integrations with every video platform is a nightmare—trust us, we've seen dev teams burn months on this stuff.

Recall.ai solved this by becoming the universal translator. Their API handles the heavy lifting of real-time streaming, transcription, and metadata extraction, so product teams can focus on building actual features instead of wrestling with WebRTC protocols.

The Proof Is in the Growth

Here's where the story gets interesting: they've grown to nearly $20 million ARR and serve over 1,000 companies in just four years. That kind of traction suggests they're solving a real pain point, not just riding the AI hype wave.

The recent $38 million Series B from Bessemer, HubSpot Ventures, and Salesforce Ventures at a $250 million valuation tells us institutional investors see the same potential we do. These aren't exactly known for throwing money at unproven concepts.

Who Should Care

If you're building AI products that need conversation data—sales coaching tools, healthcare scribes, compliance monitoring—Recall.ai is probably worth a serious look. They're particularly valuable for teams that want to move fast without getting bogged down in integration hell.

We're curious to see how they execute on their expansion beyond meetings into desktop recording and in-person conversations. If they can maintain their developer-first approach while scaling that ambition, they could become the de facto standard for conversation intelligence infrastructure.